Deep neural networks distinguish ASD from TD children at 81% accuracy using robot interaction data and generate realistic simulated behaviors via a transformer model that experts cannot reliably tell apart from real data.
Fast mapping in word-learning: A case study on the humanoid social robots' impacts on Children's performance
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Modeling of ASD/TD Children's Behaviors in Interaction with a Virtual Social Robot During a Music Education Program Using Deep Neural Networks
Deep neural networks distinguish ASD from TD children at 81% accuracy using robot interaction data and generate realistic simulated behaviors via a transformer model that experts cannot reliably tell apart from real data.